Signals obtained from a patient, ie, bio-signals, are utilized to analyze the health of patient.
One such bio-signal of paramount importance is the electrocardiogram (ECG), which …

The present paper is concerned with a review and evaluation of different methods that are
intended to detect and correct ectopic beats. Ectopic beats are abnormal beats that are due …

The prompt and adequate detection of abnormal cardiac conditions by computer-assisted
long-term monitoring systems depends greatly on the reliability of the implemented ECG …

Detection and classification of ventricular complexes from the ECG is of considerable
importance in Holter and critical care patient monitoring, being essential for the timely …

This paper presents a robust technique for the classification of six types of heartbeats
through an electrocardiogram (ECG). Features extracted from the QRS complex of the ECG …

The most common way to diagnose cardiac dysfunctions is the ECG signal analysis, usually
starting with the assessment of the QRS complex as the most significant wave in the …

In this paper we proposed a automated Artificial Neural Network (ANN) based classification
system for cardiac arrhythmia using standard 12 lead ECG recordings. In this study, we are …

Cardiac arrhythmia is one of the most important indicators of heart disease. Premature
ventricular contractions (PVCs) are a common form of cardiac arrhythmia caused by ectopic …

In this paper we proposed a automated Artificial Neural Network (ANN) based classification
system for cardiac arrhythmia using multi-channel ECG recordings. In this study, we are …

In this paper, the artificial neural network method was used for electrocardiogram (ECG)
pattern recognition. Four types of ECG patterns were chosen from the MIT-BIH database to …